Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

Author: Igor V. Tetko

Publisher: Springer Nature

Published: 2019-09-09

Total Pages: 749

ISBN-13: 3030305082

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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

Author: Igor V. Tetko

Publisher: Springer Nature

Published: 2019-09-09

Total Pages: 775

ISBN-13: 3030304906

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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

Author: Igor V. Tetko

Publisher: Springer Nature

Published: 2019-09-09

Total Pages: 848

ISBN-13: 3030304876

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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

Author: Igor V. Tetko

Publisher: Springer Nature

Published: 2019-09-10

Total Pages: 872

ISBN-13: 3030304930

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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2023
Artificial Neural Networks and Machine Learning – ICANN 2023

Author: Lazaros Iliadis

Publisher: Springer Nature

Published: 2023-09-21

Total Pages: 624

ISBN-13: 303144213X

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The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.

Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing
Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing

Author: Igor V. Tetko

Publisher:

Published: 2019

Total Pages: 733

ISBN-13: 9783030305093

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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning
Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

Author: Igor V. Tetko

Publisher: Springer Nature

Published: 2019-09-09

Total Pages: 818

ISBN-13: 3030304841

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The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Artificial Neural Networks and Machine Learning – ICANN 2022
Artificial Neural Networks and Machine Learning – ICANN 2022

Author: Elias Pimenidis

Publisher: Springer Nature

Published: 2022-09-06

Total Pages: 835

ISBN-13: 3031159349

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The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.

Artificial Neural Networks and Machine Learning – ICANN 2021
Artificial Neural Networks and Machine Learning – ICANN 2021

Author: Igor Farkaš

Publisher: Springer Nature

Published: 2021-09-10

Total Pages: 708

ISBN-13: 3030863654

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The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as generative neural networks, graph neural networks, hierarchical and ensemble models, human pose estimation, image processing, image segmentation, knowledge distillation, and medical image processing. *The conference was held online 2021 due to the COVID-19 pandemic.